The overall results of the project, deriving from the pilot validation and the scientific and usability evaluation of the LLM solution, and the important feedback from the involved stakeholders of the LLM Network of Interest, has provided to the consortium the confidence that LLM deployment is feasible and the appropriate positive influence to proceed to its business sustainability.
Consortium activities and Partners complementarity provided the opportunity to validate the LLM deployment potential in three (3) different perspectives: technological, scientific and business.

Long Lasting Memories (LLM) is an EU project that has implemented an integrated ICT platform which combines state-of-the-art cognitive exercises with physical activity in the framework of an advanced ambient assisted living environment, while respecting ethical and legal boundaries. By combining cognitive exercises and physical activity LLM delivers an effective countermeasure against age-related cognitive decline, as well as and cognitive impairment seen in the early stages of degenerative brain diseases, thus actively improving the quality of life of the elderly and significantly prolonging the time they can remain independent at home.

Physical inactivity is a major risk factor for developing chronic diseases such as coronary artery disease and undergoing a serious stroke. It also increases the possibility for other risk factors to occur, like obesity, high blood pressure, a low level of HDL ("good") cholesterol and diabetes. Even modest levels of physical activity are beneficial and could act as a great prevention strategy against the development of any chronic disease. Older adults and people with disabilities can gain significant health benefits with a moderate amount of physical activity, preferably on a daily basis. Physical activity does not need to be strenuous to cause changes on one’s fitness. Therefore it is really important for seniors to include physical activity as part of a regular routine..

Driven by the ageing of the European population the need to support an independent, autonomous and safe living of elderly people in their own homes is becoming a big issue, which is also a challenge for research, development and industry. One approach to fulfil these needs is the deployment of ICT based assistive smart home solutions.

Age-related cognitive decline can be reversed through the selection of proper cognitive intervention programs. However, most existing software fails to demonstrate significant transfer of learning from the trained tasks to everyday activities. In this article, a recent plasticity-based training approach that has demonstrated robust generalization of learning to untrained natural settings is presented.